gtdb.ecogenomic.org
gtdb.ecogenomic.org
academic.oup.com/nar/advance-...
academic.oup.com/nar/advance-...
Find more information about @jimshaw.bsky.social fantastic tool at www.nature.com/articles/s41....
Find more information about @jimshaw.bsky.social fantastic tool at www.nature.com/articles/s41....
The GlobDB is a database of "species dereplicated" microbial genomes, and as of release 226 contains twice the number of species-representative genomes (306,260) than the latest GTDB release.
The GlobDB is a database of "species dereplicated" microbial genomes, and as of release 226 contains twice the number of species-representative genomes (306,260) than the latest GTDB release.
* You can also search all of GTDB in < 30s.
* You can also search all of GTDB in < 30s.
A new DB format + approach --> huge performance gains: GTDB-R232 (200k species) now takes < 5 GB of RAM and ~30s (2GB fq.gz).
Huge thanks to @benjwoodcroft.bsky.social and his ongoing performance efforts (github.com/wwood/weebill)
A new DB format + approach --> huge performance gains: GTDB-R232 (200k species) now takes < 5 GB of RAM and ~30s (2GB fq.gz).
Huge thanks to @benjwoodcroft.bsky.social and his ongoing performance efforts (github.com/wwood/weebill)
www.youtube.com/watch?v=GTDB...
www.youtube.com/watch?v=GTDB...
- GTDB-R226 (143k prok. species)
- GlobDB-R226 (>300k prok. species, thanks @daanspeth.bsky.social )
- UHGV (Unified Human Gut Virome Catalog, thanks @apcamargo.bsky.social )
Must update sylph-tax; see docs (sylph-docs.github.io/sylph-tax/)
- GTDB-R226 (143k prok. species)
- GlobDB-R226 (>300k prok. species, thanks @daanspeth.bsky.social )
- UHGV (Unified Human Gut Virome Catalog, thanks @apcamargo.bsky.social )
Must update sylph-tax; see docs (sylph-docs.github.io/sylph-tax/)
GTDB r220 case study (led by @kassipan.bsky.social )
Applied WitChi to the archaeal GTDB r220 supermatrix:
• 5,869 taxa
• 55% of columns pruned
• Biased taxa: 95.1% → 2.3%
• Runtime: <2h on 4 cores
→ Known clades recovered — without using very complex C60 or CAT models
GTDB r220 case study (led by @kassipan.bsky.social )
Applied WitChi to the archaeal GTDB r220 supermatrix:
• 5,869 taxa
• 55% of columns pruned
• Biased taxa: 95.1% → 2.3%
• Runtime: <2h on 4 cores
→ Known clades recovered — without using very complex C60 or CAT models
Thank you to @ebi.embl.org for support with setting up these links!
Thank you to @ebi.embl.org for support with setting up these links!
💾 github.com/steineggerla...
📄 doi.org/10.64898/2026.03.13.711249
💾 github.com/steineggerla...
📄 doi.org/10.64898/2026.03.13.711249
We tested it on the GTDB r220 archaeal supermatrix (5,869 taxa & 10,101 cols) removing 55% of sites in <2h.
The phylogeny showed several interesting groupings with overall improved branch support:
#phylogenetics #ArchaeaSky #MSA #opensource #MEvoSky #MicroSky
We tested it on the GTDB r220 archaeal supermatrix (5,869 taxa & 10,101 cols) removing 55% of sites in <2h.
The phylogeny showed several interesting groupings with overall improved branch support:
#phylogenetics #ArchaeaSky #MSA #opensource #MEvoSky #MicroSky
www.jameslingford.com/blog/gtdb-to...
www.jameslingford.com/blog/gtdb-to...